摘要
数字出版行业通过对人工智能的运用,体现出其在大数据飞速发展的时代背景下的自身历史使命与社会价值。在采集环节,数据化挖掘内容能快速地发现提取新闻线索,进而对数字出版内容加工制作;在写作环节,通过语法和语义理解进行基本分析,可以快速提取核心观点、事件发展、舆论导向、情感诉求、事件传播路径;在编辑环节,通过多种形式的多媒体学习,为用户提供多介质、立体化、动态化的资源服务;在评论环节,精准化评估阅读者对出版作品的感受,从而达到的良好辨识效果。
Against the background of the rapid development of big data,the digital publishing industry has more powerful capabilities of bearing its own mission and achieving its social value through the use of artificial intelligence.In the process of collection,the data mining is able to find news as soon as possible,which will be processed quickly meanwhile;In terms of writing,we can quickly extract core ideas,development trends,public opinion orientation,and analyze transmitting paths.When it comes to editing,we make it possible that multi-media,three-dimensional,and dynamic resource services will be available to users through kinds of multimedia learning.Finally,as for commentary,the targeted evaluation will come into being on the reader's feelings about the published works to achieve a good recognition in the end.
作者
彭辉
周莹青
李瑜琪
PENG Hui;ZHOU Yingqing;LI Yuqi(Institute of Law,Shanghai Academy of Social Sciences,Shanghai,200020,China;ShanghaiRailway Transport Court,Shanghai,200232,China;School of Law,Shanghai Universityof Political Science and Law,Shanghai,201701,China)
出处
《牡丹江师范学院学报(社会科学版)》
2020年第2期1-10,共10页
Journal of Mudanjiang Normal University(Social Sciences Edition)
基金
上海市社科规划项目(2019BFX016)。
关键词
人工智能
大数据
数字出版
应用
artificial intelligence
big data
the digital publishing
application